# Curriculum & Courses

During the fall and spring semesters, Business Plus students take two communication courses and choose two quantitative courses from nearly 50 University offerings.

### Communication Courses

### Quantitative Courses

This course is a foundation course for learning software programming using the Java language. The course will introduce the student to programming concepts, programming techniques, and other software development fundamentals. Students will learn the concepts of Object Oriented programming using Java. The course will present an extensive coverage of the Java programming language including how to write, compile and run Java applications.

The purpose of this course is to learn programming concept and Object Oriented fundamentals using Java. Students will receive a solid understanding of the Java language syntax and semantics including Java program structure, data types, program control flow, defining classes and instantiating objects, information hiding and encapsulations, inheritance, exception handling, input/output data streams, memory management, Applets and Swing window components.

##### Course Number

BUSI PS4007##### Points

3##### Format

In PersonStudents will be introduced to the fundamental financial issues of the modern corporation. By the end of this course, students will understand the basic concepts of financial planning, managing growth, debt and equity sources of financing and valuation, capital budgeting methods; risk analysis, cost of capital, and the process of securities issuance.

##### Course Number

BUSI PS5001##### Points

3##### Format

Online & In PersonStudents will learn the critical corporate finance concepts including: financial statement analysis; performance metrics; valuation of stocks and bonds; project and firm valuation; cost of capital; capital investment strategies and sources of capital, and firm growth strategies. At the end of this course students will understand how to apply these concepts to current business problems.

##### Course Number

BUSI PS5003##### Points

3##### Format

Online & In Person##### Prerequisite

BUSI PS5001 Introduction to Finance/or Professor Approval is requiredStudents will learn about financial derivative securities: their role in financial management is becoming increasingly important, especially in portfolio management. By the end of this course students will be able to identify valuation of various options and futures as well as their use in risk management. By the end of this course, students will be able to understand option and futures pricing models, option strategies and index arbitraging. Not available in summer.

##### Course Number

BUSI PS5008##### Points

3##### Format

In Person##### Prerequisite

BUSI PS5001 Introduction to Finance and BUSI PS5003 Corporate Finance or professor approval.Students will examine the generally accepted account principles (GAAP) underlying financial statements and their implementation in practice. The perspective and main focus of the course is from the users of information contained in the statements, including investors, financial analysts, creditors, and management. By the end of the class students will be able to construct a cash flow statement, balance sheet and decipher a 10K report.

**Availability**

On Campus: Every term

Online: Every term

##### Course Number

BUSI PS5009##### Points

3##### Format

Online & In PersonStudents will learn about the valuation of publicly traded equity securities. By the end of the semester students will be able to perform fundamental analysis ("bottoms-up," firm-level, business and financial analysis), prepare pro forma financial statements, estimate free cash flows and apply valuation models.

##### Course Number

BUSI PS5040##### Points

3##### Format

In Person##### Prerequisite

BUSI PS5001 Intro to Finance and BUSI PS5003 Corporate Finance or professor approval is requiredMethods of integration, applications of the integral, Taylor's theorem, infinite series.

##### Course Number

MATH UN1102##### Section/Call Number

0001##### Points

3##### Format

In Person##### Prerequisite

MATH UN1101 or the equivalent.Vectors in dimensions 2 and 3, complex numbers and the complex exponential function with applications to differential equations, Cramer's rule, vector-valued functions of one variable, scalar-valued functions of several variables, partial derivatives, gradients, surfaces, optimization, the method of Lagrange multipliers.

##### Course Number

MATH UN1201##### Section/Call Number

00011##### Points

3##### Format

In Person##### Prerequisite

MATH UN1101 or the equivalentMultiple integrals, Taylor's formula in several variables, line and surface integrals, calculus of vector fields, Fourier series.

##### Course Number

MATH UN1202##### Section/Call Number

0001##### Points

3##### Format

In Person##### Prerequisite

MATH UN1102 and MATH UN1201 or the equivalentMatrices, vector spaces, linear transformations, eigenvalues and eigenvectors, canonical forms, applications.

##### Course Number

MATH UN2010##### Section/Call Number

001##### Points

3##### Format

In Person##### Prerequisite

MATH UN1201 or the equivalentSpecial differential equations of order one. Linear differential equations with constant and variable coefficients. Systems of such equations. Transform and series solution techniques. Emphasis on applications.

##### Course Number

MATH UN2030##### Section/Call Number

001##### Points

3##### Format

In Person##### Prerequisite

MATH UN1102 and MATH UN1201 or the equivalentA friendly introduction to statistical concepts and reasoning with emphasis on developing statistical intuition rather than on mathematical rigor. Topics include design of experiments, descriptive statistics, correlation and regression, probability, chance variability, sampling, chance models, and tests of significance.

##### Course Number

STAT UN1001/STAT W1001##### Points

3##### Format

In PersonDesigned for students in fields that emphasize quantitative methods. Graphical and numerical summaries, probability, theory of sampling distributions, linear regression, analysis of variance, confidence intervals and hypothesis testing. Quantitative reasoning and data analysis. Practical experience with statistical software. Illustrations are taken from a variety of fields. Data-collection/analysis project with emphasis on study designs is part of the coursework requirement.

##### Course Number

STAT UN1101/STAT S1101/STAT W1111##### Points

3##### Format

In PersonDesigned for students who desire a strong grounding in statistical concepts with a greater degree of mathematical rigor than in *STAT W1111*. Random variables, probability distributions, pdf, cdf, mean, variance, correlation, conditional distribution, conditional mean and conditional variance, law of iterated expectations, normal, chi-square, F and t distributions, law of large numbers, central limit theorem, parameter estimation, unbiasedness, consistency, efficiency, hypothesis testing, p-value, confidence intervals, maximum likelihood estimation.

##### Course Number

STAT UN1201/STAT W1201##### Points

3##### Format

In PersonIntroduction to Probability and Statistics

##### Course Number

STAT GU4001##### Format

In PersonProbability is the foundation on which statistics is built. The purposes of this course are 1) to introduce you to probability and 2) prepare you to take a sequel course on statistical inference (Statistics 4204,5204).

We shall begin by covering the basic axioms of probability and using these in some simple settings. Then we will take up the idea of independence and conditional probability. Following we shall consider random variables, and the properties first of univariate discrete and continuous distributions. When we look at two or more variables, additional considerations arise, such as the relationship between the variables|conditional distributions and marginal distributions. Following these basics, we will then take up some ways of summarizing distributions, e.g., expectations and variances and, in summarizing relationships among variables, covariance and correlation. We then take up some of the more important distributions in statistics. In particular, for the discrete case, we will study the Bernoulli and binomial distributions and the generalization to the multinomial distribution, also the Poisson distribution. For continuous distributions, we take up the univariate and bivariate normal, the Gamma and the Beta distribution. In statistical applications, sums of independent random variables (for example, a sample average is such a sum, divided by sample size) are extremely important and characterizing the properties of these in large samples justifies many of the ways in which we make inferences in statistics. Thus, we take up the properties of these sums in large samples, focusing on stating laws of large numbers and also a simple central limit theorem.

##### Course Number

STAT GU4203##### Points

3##### Format

In Person##### Prerequisite

This is a master's level class. A solid grounding in calculus (including multivariable calculus) and linear algebra is minimally presupposed; of course, more mathematics is even better. Potential students without such grounding will have too tough a time and should take preparatory mathematics classes and/or a more elementary statistics class.The aim of the course is to describe the two aspects of statistics {estimation and inference {in some details. The topics will include maximum likelihood estimation, Bayesian inference, confidence intervals, bootstrap methods, some nonparametric tests, statistical hypothesis testing, linear regression models, ANOVA, etc.

##### Course Number

STAT GU4204##### Points

3##### Format

In Person##### Prerequisite

GU4203 or GR5203 (Old #: W4105), and a good working knowledge of single-variable calculus is necessary: differentiation, integration, infinite sums, Taylor expansions, limits.Linear Regression Models

##### Course Number

STAT GU4205##### Points

3##### Format

In PersonTime Series Analysis

##### Course Number

STAT GU4221##### Points

3##### Format

In PersonApplied Data Science

##### Course Number

STAT GU4243##### Points

3##### Format

In Person*Courses and descriptions are subject to change.*